Continuously seek out best practices and develop skills; Work on multidisciplinary teams of data engineers, software engineers, data scientists, and business subject-matter experts to deliver complex projects on time and within budgets; Work with mentor to translate ambiguous and complex business problems into project charters clearly identifying technical risks and project scope; Take ownership for the data science workflow including exploratory data analysis, model development, and potentially deployment; Independently handle issues with minimal supervision, while working closely with mentor for more complex issues; Other duties as assigned
Requirements:
Currently enrolled in a Masters or PhD program in Data Science, Machine Learning, Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Physics, or related fields with a graduation date of December 2021 or later; Experience developing and testing machine learning or statistical projects, with strong background in supervised, unsupervised, semi-supervised and reinforcement learning algorithms and modelling; Strong background in Computer Vision including image/video processing, object detection, classification, and tracking. Knowledge and experience on using deep learning tools (e.g. TensorFlow, MXNet, PyTorch, etc.) for image/video analytics
Text:
Data Science Intern - Foundation Engineering Continuously seek out best practices and develop skills; Work on multidisciplinary teams of data engineers, software engineers, data scientists, and business subject-matter experts to deliver complex projects on time and within budgets; Work with mentor to translate ambiguous and complex business problems into project charters clearly identifying technical risks and project scope; Take ownership for the data science workflow including exploratory data analysis, model development, and potentially deployment; Independently handle issues with minimal supervision, while working closely with mentor for more complex issues; Other duties as assigned Currently enrolled in a Masters or PhD program in Data Science, Machine Learning, Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Physics, or related fields with a graduation date of December 2021 or later; Experience developing and testing machine learning or statistical projects, with strong background in supervised, unsupervised, semi-supervised and reinforcement learning algorithms and modelling; Strong background in Computer Vision including image/video processing, object detection, classification, and tracking. Knowledge and experience on using deep learning tools (e.g. TensorFlow, MXNet, PyTorch, etc.) for image/video analytics
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